Customer: United States Army Communications-Electronics Research Development and Engineering Center (CERDEC)

Dates: 2010 to 2011

Funding: $316,995.28

Description: Primordial, Carnegie Mellon University (CMU), iRobot, and AeroVironment (AV) teamed to develop Bedlam--an adversarial reasoning system for unmanned platforms.  Bedlam autonomously directs multiple unmanned aerial vehicles (UAVs) and unmanned ground vehicles (UGVs) tracking an actively evading person or vehicle.  Bedlam leverages Ground Guidance to identify probable fast and concealed routes for the tracked entity and deploys the unmanned assets to maximize visual coverage.  Bedlam outperformed its state-of-the-art predecessor, Surveyor, in 71% of trials.

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